The Performance of Partial Least Squares Methods in Virtual Nanosensor Array—Multiple Metal Ions Sensing Based on Multispectral Fluorescence of Quantum Dots
Abstract
:1. Introduction
2. Materials and Methods
2.1. Reagents and Materials
2.2. Qualitative Analysis Experiments
2.3. Quantitative Analysis Experiments
2.4. EEM Fluorescence Measurements
2.5. Data Pretreatment and Chemometric Analysis
2.6. Software
3. Results
3.1. Qualitative Analysis of Metal Ions
3.2. Quantitative Analysis of Metal Ions
3.2.1. Quantitative Analysis for Metal Ions Only Quenching QDs Fluorescence
3.2.2. Quantitative Analysis for Metal Ions Quenching QDs Fluorescence with Red-Shift
3.2.3. Quantitative Analysis for Metal Ions Quenching QDs Fluorescence with Baseline Changes
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Głowacz, K.; Cieślak, M.; Ciosek-Skibińska, P. The Performance of Partial Least Squares Methods in Virtual Nanosensor Array—Multiple Metal Ions Sensing Based on Multispectral Fluorescence of Quantum Dots. Materials 2024, 17, 4766. https://doi.org/10.3390/ma17194766
Głowacz K, Cieślak M, Ciosek-Skibińska P. The Performance of Partial Least Squares Methods in Virtual Nanosensor Array—Multiple Metal Ions Sensing Based on Multispectral Fluorescence of Quantum Dots. Materials. 2024; 17(19):4766. https://doi.org/10.3390/ma17194766
Chicago/Turabian StyleGłowacz, Klaudia, Mikołaj Cieślak, and Patrycja Ciosek-Skibińska. 2024. "The Performance of Partial Least Squares Methods in Virtual Nanosensor Array—Multiple Metal Ions Sensing Based on Multispectral Fluorescence of Quantum Dots" Materials 17, no. 19: 4766. https://doi.org/10.3390/ma17194766